Roshdy F. Abo-Shanab

Papers

Total Citations

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About

Dr. Roshdy F. Abo-Shanab is a leading researcher in industrial robotics and automation, with a focus on intelligent path planning and optimization for manufacturing systems. His most-cited work, "Automated complex path extraction and optimization based on scalable vector graphics and genetic algorithm for industrial robot applications" (2025, 3 citations), introduces a novel method that leverages scalable vector graphics and genetic algorithms to automate the extraction and optimization of complex tool paths for industrial robots. This contribution addresses a critical challenge in modern automation—enabling robots to efficiently handle intricate, non-linear trajectories without manual intervention. Dr. Abo-Shanab’s research bridges image processing, computational optimization, and robotics, enhancing the adaptability and precision of robotic systems in smart manufacturing. With a growing citation record, his work is gaining recognition for its practical implications in reducing setup time and improving production efficiency. His achievements underscore a commitment to advancing autonomous robotic capabilities, positioning him as an emerging voice in the field of industrial automation and intelligent manufacturing.